Assessing the efficiency of mother-to-child HIV prevention in low- and middle-income countries using data envelopment analysis
AbstractAIDS is one of the most significant health care problems worldwide. Due to the difficulty and costs involved in treating HIV, preventing infection is of paramount importance in controlling the AIDS epidemic. The main purpose of this paper is to explore the potential of using Data Envelopment Analysis (DEA) to establish international comparisons on the efficiency of implementation of HIV prevention programmes. To do this we use data from 52 low- and middle-income countries regarding the prevention of mother-to-child transmission of HIV. Our results indicate that there is a remarkable variation in the efficiency of prevention services across nations, suggesting that a better use of resources could lead to more and improved services, and ultimately, prevent the infection of thousands of children. These results also demonstrate the potential strategic role of DEA for the efficient and effective planning of scarce resources to fight the epidemic. Copyright Springer Science+Business Media, LLC 2012
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Springer in its journal Health Care Management Science.
Volume (Year): 15 (2012)
Issue (Month): 3 (September)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=101767
HIV prevention; DEA; Mother-to-Child HIV transmission;
Other versions of this item:
- Sérgio P. Santos & Carla A.E. Amado & Mauro F. Santos, 2012. "Assessing the Efficiency of Mother-to-Child HIV Prevention in Low- and Middle-Income Countries using Data Envelopment Analysis," CEFAGE-UE Working Papers 2012_02, University of Evora, CEFAGE-UE (Portugal).
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I12 - Health, Education, and Welfare - - Health - - - Health Production
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bruce Hollingsworth, 2008. "The measurement of efficiency and productivity of health care delivery," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1107-1128.
- James Langabeer & Yasar Ozcan, 2009. "The economics of cancer care: longitudinal changes in provider efficiency," Health Care Management Science, Springer, vol. 12(2), pages 192-200, June.
- Cooper, William W. & Ruiz, Jose L. & Sirvent, Inmaculada, 2007. "Choosing weights from alternative optimal solutions of dual multiplier models in DEA," European Journal of Operational Research, Elsevier, vol. 180(1), pages 443-458, July.
- Bruce Hollingsworth & P.J. Dawson & N. Maniadakis, 1999. "Efficiency measurement of health care: a review of non‐parametric methods and applications," Health Care Management Science, Springer, vol. 2(3), pages 161-172, July.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
- Royston, Geoff, 1998. "Shifting the balance of health care into the 21st century," European Journal of Operational Research, Elsevier, vol. 105(2), pages 267-276, March.
- Zanakis, Stelios H. & Alvarez, Cecilia & Li, Vivian, 2007. "Socio-economic determinants of HIV/AIDS pandemic and nations efficiencies," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1811-1838, February.
- R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
- Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 159(1), pages 17-34, November.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.